GridCal
matplotlib_3_0_3
  • About GridCal
  • Getting Started
  • API reference
  • Theory behind GridCal
    • The assets manager: from objects to matrices
    • Universal Branch Model
    • Transformer definition from SC test values
    • Power Flow
    • Optimal power flow
    • Short Circuit
  • Graphical User Interface
  • Development
  • Change log
GridCal
  • Docs »
  • Theory behind GridCal
  • Edit on GitHub

Theory behind GridCal¶

GridCal has a great deal of numerical algorithms with little innovations that make this program possible. The featured sections try to describe these innovations such that you can extend on them.

  • The assets manager: from objects to matrices
    • Structure
      • MultiCircuit
      • NumericalCircuit
      • CalculationInputs
  • Universal Branch Model
    • Temperature correction
    • Embedded Tap changer
  • Transformer definition from SC test values
    • Inverse definition of SC values from π model
  • Power Flow
    • Newton-Raphson
      • Canonical Newton-Raphson
      • Jacobian in power equations
      • Newton-Raphson-Iwamoto
      • Newton-Raphson Line Search
      • Newton-Raphson in Current Equations
    • Levenberg-Marquardt
    • DC approximation
    • Linear AC Power Flow
    • Holomorphic Embedding
      • Concepts
      • Fundamentals
      • Padè approximation
      • Formulation with PV nodes
    • Post Power Flow (Loading and Losses)
    • Continuation power flow
      • Predictor
      • Corrector
  • Optimal power flow
    • Linear optimal power flow
      • Objective function
      • Power injections
      • Nodal power balance
      • Branch loading restriction
    • Linear optimal power flow time series
      • Objective function
      • Power injections
      • Nodal power balance
      • Branch loading restriction
      • Battery discharge restrictions
  • Short Circuit
    • 3-Phase Short Circuit
Next Previous

© Copyright 2019, Santiago Peñate Vera Revision 14c51273.

Built with Sphinx using a theme provided by Read the Docs.